Triple
T16008569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Natasha "Phoenix" Trace |
E388279
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Natasha
Natasha is a female given name of Slavic origin, commonly associated with the Russian diminutive of Natalia and used widely in many countries.
|
E1189007
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Natasha | Statement: [Natasha "Phoenix" Trace, givenName, Natasha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Natasha Context triple: [Natasha "Phoenix" Trace, givenName, Natasha]
-
A.
Natasha
Natasha is a song by the South Korean girl group Wanna One, featured as part of their musical releases.
-
B.
Natasha
Natasha is a central character in Anton Chekhov's play "Three Sisters," known for her social ascent and disruptive influence on the Prozorov family.
-
C.
Наташа
Наташа — одна из главных героинь пьесы Максима Горького «На дне», олицетворяющая трагическую судьбу бедной и угнетённой женщины в мире социального дна.
-
D.
Natalia Sedova
Natalia Sedova was a Russian revolutionary, Marxist activist, and intellectual best known as the lifelong partner and political collaborator of Leon Trotsky.
-
E.
Natalya
Natalya is a feminine given name of Slavic origin, commonly used in Russian-speaking countries and derived from the Latin name Natalia.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Natasha Triple: [Natasha "Phoenix" Trace, givenName, Natasha]
Generated description
Natasha is a female given name of Slavic origin, commonly associated with the Russian diminutive of Natalia and used widely in many countries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Natasha Target entity description: Natasha is a female given name of Slavic origin, commonly associated with the Russian diminutive of Natalia and used widely in many countries.
-
A.
Natasha
Natasha is a song by the South Korean girl group Wanna One, featured as part of their musical releases.
-
B.
Natasha
Natasha is a central character in Anton Chekhov's play "Three Sisters," known for her social ascent and disruptive influence on the Prozorov family.
-
C.
Наташа
Наташа — одна из главных героинь пьесы Максима Горького «На дне», олицетворяющая трагическую судьбу бедной и угнетённой женщины в мире социального дна.
-
D.
Natalia Sedova
Natalia Sedova was a Russian revolutionary, Marxist activist, and intellectual best known as the lifelong partner and political collaborator of Leon Trotsky.
-
E.
Natalya
Natalya is a feminine given name of Slavic origin, commonly used in Russian-speaking countries and derived from the Latin name Natalia.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15801a58881909805d0b90011e6ff |
completed | April 16, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf22db3481909141ddef151d0341 |
completed | May 10, 2026, 12:19 a.m. |
| NEDg | Description generation | batch_69ffd08186d081909b6e236768dc3cde |
completed | May 10, 2026, 12:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffd0f1914c81908c55df30a27fc0d1 |
completed | May 10, 2026, 12:27 a.m. |
Created at: April 10, 2026, 4:55 a.m.